机票价格预测

Mudagal Nagarjun, R. R
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引用次数: 0

摘要

该研究利用过去的航班时刻表、航线数据和机票价格,采用机器学习回归法估算机票成本。为便于使用和发挥功能,该系统设有管理员模块和用户模块。通过注册和登录,用户可以上传航班数据,以进行精确的成本估算。为确保持续有效,管理模块使数据管理和系统维护更加简便。其目标是通过为旅客提供以数据为驱动的洞察力,帮助他们做出明智的决策,最大限度地提高机票购买价值,从而改善整体旅行规划体验。关键词:机器学习、机票预测、航班票价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FLIGHT TICKET PRICE PREDICTION
The study uses past flight schedules, route data, and ticket prices to estimate airline ticket costs using machine learning regression. For ease of use and functionality, it has admin and user modules. Registering and logging in allows users to upload flight data for precise cost estimates. Ensuring continuous efficacy, the admin module makes data administration and system maintenance easier. The objective is to improve overall travel planning experiences by providing travelers with data- driven insights to help them make wise decisions and maximize the value of their airline ticket purchases. Keyword: Machine learning, Flight ticket Prediction, Flight fare.
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